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£123.63
Springer Data-Driven Remaining Useful Life Prognosis Book
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Description
Key Features
Systematic theory coverage that provides a detailed foundation for data-driven remaining useful life prognosis techniques.
Practical application of stochastic models to predict the life expectancy of degrading systems effectively.
Data-driven methods to help engineers utilize condition monitoring data for better maintenance and logistics planning.
Includes a wealth of degradation monitoring experiment data to support real-world learning and testing.
Focused approach on the methods and applications required for modern reliability engineering and system management.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3662540282
- Category
- Books > Subjects > Business, Finance & Law > Management > Management Skills > Decision Making
- Domain
- Amazon UK
- Release Date
- 09 February 2017
- Listed Since
- 26 October 2016
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